Gen Hattori

About

Gen Hattori is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Gen Hattori has authored 12 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Information Systems and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Gen Hattori’s work include Face recognition and analysis (4 papers), Emotion and Mood Recognition (4 papers) and Recommender Systems and Techniques (3 papers). Gen Hattori is often cited by papers focused on Face recognition and analysis (4 papers), Emotion and Mood Recognition (4 papers) and Recommender Systems and Techniques (3 papers). Gen Hattori collaborates with scholars based in Japan, Vietnam and China. Gen Hattori's co-authors include Kazushi Ikeda, Teruo Higashino, Chihiro Ono, Hideki Asoh, Yusuke Iwasawa, Sei Naito, Yutaka Matsuo, Zhiguang Zhou, Yasuhiro Takishima and Keisuke Nonaka and has published in prestigious journals such as Knowledge-Based Systems, Pattern Recognition Letters and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Co-authorship network of co-authors of Gen Hattori i

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Fields of papers citing papers by Gen Hattori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gen Hattori. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gen Hattori. The network helps show where Gen Hattori may publish in the future.

Countries citing papers authored by Gen Hattori

Since Specialization

Citations

This map shows the geographic impact of Gen Hattori's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gen Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Hattori more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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